‘Artificial Intelligence and the Law’

The UNSW Law Journal (‘Journal’) is currently welcoming submissions for the thematic component of Issue 48(4). The topic for this thematic is ‘Artificial Intelligence and the Law’.

As Artificial Intelligence (‘AI’) rapidly advances, its integration into society poses profound legal challenges. Long heralded as a transformative force, AI is now testing the boundaries of traditional legal frameworks, reshaping questions of liability, intellectual property, market dynamics, and even the practice of law itself.

Indeed, the rise of AI forces us to re-examine foundational principles. For instance, who bears responsibility when an AI system causes harm? How should intellectual property laws adapt to creations generated by AI without direct human input? What impact does AI have on fair competition within markets, especially when algorithms can facilitate tacit collusion without explicit human agreement? How will the legal profession itself evolve as automation begins to handle tasks once considered the exclusive domain of lawyers and clerks?

Developments in AI inevitably push legal scholars, practitioners, and policymakers to reconsider foundational legal principles. The increasing autonomy and pervasive integration of AI systems challenge traditional notions of liability and personhood, adding layers of complexity to the legal landscape. As society becomes more reliant on AI technologies across various domains, entirely new regulatory approaches may be necessary to address issues such as algorithmic bias, overreliance on flawed systems, and the determination of truth in AI-generated information.

Accordingly, in writing submissions, authors may wish to explore the following issues.

AI and Intellectual Property

• The legal permissibility of training AI systems using copyrighted works.
• The adequacy of existing fair use doctrines and copyright exceptions in addressing AI’s use of copyrighted materials.
• The question of authorship for AI-generated outputs: whether the programmer, the user, or the AI system itself should be considered the legal author.
• The implications of recognising AI as a potential author and the impact on copyright protection.
• The need for new legal provisions to address the challenges posed by AI in the realm of intellectual property.

AI and Legal Liability

• The determination of legal liability when an AI system produces unintended or harmful outcomes, including responsibility among users, owners, programmers, or considerations regarding the AI system itself.
• The challenges posed by increasingly autonomous AI systems to traditional liability frameworks, given that these systems may operate in ways not anticipated by their creators or users.
• The adequacy of current tort, contract, and product liability laws in addressing the consequences of AI system operations, and whether new legal frameworks are necessary.
• The concept of shared liability among multiple parties involved in AI development, deployment, and maintenance.
• The discourse around AI personhood and the implications of attributing legal liability directly to AI systems.

AI and Competition Law

• The potential for AI systems to facilitate tacit collusion by identifying and mirroring competitors’ pricing strategies without explicit human intervention.
• The challenges traditional competition law faces in addressing automated forms of coordination enabled by AI.
• The adequacy of existing antitrust frameworks to address AI-induced anti-competitive practices, and the potential need for new legal mechanisms.
• Strategies for regulatory bodies to monitor AI-driven market behaviours and prevent AI from inadvertently facilitating anti-competitive practices.

AI and the Legal Profession

• The impact of AI-driven automation on the legal profession, including predictions that a significant portion of lawyers’ and law clerks’ tasks could be automated.
• The potential for AI to streamline routine legal tasks, increasing efficiency and productivity, and freeing professionals for more complex work.
• The ethical concerns raised by increased reliance on AI, including decision-making, privacy, and potential errors in legal outcomes.
• The need for legal professionals to develop new skills and adapt to changing roles in an AI-integrated legal industry.
• The potential for AI to make legal services more accessible by lowering operational costs, balanced against the risk of job displacement.

Societal Reliance on AI Systems

• The challenges and opportunities that the growing dependence on AI systems presents to the existing legal system and the preparedness of current regulatory frameworks.
• The potential legal risks associated with widespread AI integration, including vulnerabilities to cyber-attacks, manipulation of algorithms, and misalignment with human values.
• The adequacy of current regulatory measures in addressing the unique risks posed by pervasive AI use, such as issues of truth, bias, and overreliance on flawed or inappropriate systems.

However, authors are not limited to these topics and are encouraged to draw upon their own interests and expertise. The Journal welcomes inter-disciplinary approaches to these issues and questions.

The submission deadline for the thematic Issue 48(4) is 31 March 2025, with publication set for early December 2025. Any changes to these deadlines will be updated on the Journal’s website.

Submissions should be between 7,000 and 13,000 words in length, excluding footnotes. The style guide for the Journal is the fourth edition of the Australian Guide to Legal Citation, as supplemented by the latest edition of the Journal’s ‘Additions’, which is available on our website.

The Journal is an independent, peer-reviewed publication. While publication is subject to peer review, publication decisions remain at the Editor’s discretion, in counsel with the Executive Committee of the Journal. The Journal does not publish articles that have been, or will be, published elsewhere, either in identical or substantially similar form. Please contact the Journal at law.journal@unsw.edu.au if you are interested or have queries about submitting for Issue 48(4).

If you intend to submit an article, it would be greatly appreciated if you could please provide some early indication of your proposed topic or area of research. We strongly encourage you to pass this call for submissions to any colleagues, research networks or organisations who may be interested in making a submission.

Yours sincerely,

Bisesh Belbase
Editor, Issue 48(4)